Data Analysis of Changes in Professional Identity among Higher Vocational Nursing Students Based on Big Data Technology
Year: 2026
Type: conference-paper
Study design: Observational Study
Abstract: Hao Yufang's “Formal Draft of Professional Identity Questionnaire for Nursing Students” was selected, and the questionnaires were distributed through MosoTeach Platform in June 2019, June 2022, and June 2025 in the elective classes of higher vocational nursing majors, 316, 44, and 135 valid questionnaires were received, respectively. Using MosoTeach big data technology and multi-source heterogeneous data collection and fusion analysis solutions, survey data was collected and analyzed across the five dimensions of the questionnaire, then submitted to the SPSSPRO online data analysis platform for validation to generate the results. Based on deep learning prediction models using time-series data, changes in the data across each dimension were compared, and possible causes were analyzed. The findings of this study offer valuable insights into the impact of major public health events on the professional identity of nursing students in higher vocational education and provide useful recommendations for related initiatives.
Authors: Zhili Bi, Xuehui Ding, Xuefei Gu, Jing Yan
Institution: Binzhou Polytechnic
Language: English
Subfield: Leadership and Management
Field: Nursing
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7203749515